class_docstr: Span labeling network head for BERT modeling.
  
  This network implements a simple single-span labeler based on a dense layer.
  
  Attributes:
    input_width: The innermost dimension of the input tensor to this network.
    activation: The activation, if any, for the dense layer in this network.
    initializer: The intializer for the dense layer in this network. Defaults to
      a Glorot uniform initializer.
    output: The output style for this network. Can be either 'logits' or
      'predictions'.
code: def from_config(cls, config, custom_objects=None):
      return cls(**config)
  
file_path: autodist/examples/benchmark/utils/modeling/networks/span_labeling.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.keras.engine import network
label_desc: Use image node_id 4 for calling the SpanLabeling obj's underlying member method code with example usage: obj.from_config(cls, config, custom_objects) and returns: cls